Pandas Profiling Report

Dataset statistics

Number of variables	9
Number of observations	767
Missing cells	0
Missing cells (%)	0.0%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	54.1 KiB
Average record size in memory	72.2 B

Variable types

NUM	8
BOOL	1

Warnings

`Nº de gravidez` has 111 (14.5%) zeros	Zeros
`Pressão sanguínea` has 35 (4.6%) zeros	Zeros
`Trícepis` has 227 (29.6%) zeros	Zeros
`Insulina` has 373 (48.6%) zeros	Zeros
`IMC` has 11 (1.4%) zeros	Zeros

Reproduction

Analysis started	2022-02-13 22:01:17.954604
Analysis finished	2022-02-13 22:01:38.466283
Duration	20.51 seconds
Software version	pandas-profiling v2.9.0
Download configuration	config.yaml

Nº de gravidez
Real number (ℝ_≥0)

ZEROS

Distinct	17
Distinct (%)	2.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	3.842242503
Minimum	0
Maximum	17
Zeros	111
Zeros (%)	14.5%
Memory size	6.0 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	1
median	3
Q3	6
95-th percentile	10
Maximum	17
Range	17
Interquartile range (IQR)	5

Descriptive statistics

Standard deviation	3.370876524
Coefficient of variation (CV)	0.8773200862
Kurtosis	0.1612926278
Mean	3.842242503
Median Absolute Deviation (MAD)	2
Skewness	0.9039762644
Sum	2947
Variance	11.36280854
Monotocity	Not monotonic

Histogram with fixed size bins (bins=17)

Value	Count	Frequency (%)
1	135	17.6%
0	111	14.5%
2	103	13.4%
3	75	9.8%
4	68	8.9%
5	57	7.4%
6	49	6.4%
7	45	5.9%
8	38	5.0%
9	28	3.7%
Other values (7)	58	7.6%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	111	14.5%
1	135	17.6%
2	103	13.4%
3	75	9.8%
4	68	8.9%

Value	Count	Frequency (%)
17	1	0.1%
15	1	0.1%
14	2	0.3%
13	10	1.3%
12	9	1.2%

Glicose
Real number (ℝ_≥0)

Distinct	136
Distinct (%)	17.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	120.8591917
Minimum	0
Maximum	199
Zeros	5
Zeros (%)	0.7%
Memory size	6.0 KiB

Quantile statistics

Minimum	0
5-th percentile	79
Q1	99
median	117
Q3	140
95-th percentile	181
Maximum	199
Range	199
Interquartile range (IQR)	41

Descriptive statistics

Standard deviation	31.97846846
Coefficient of variation (CV)	0.2645927713
Kurtosis	0.6429918315
Mean	120.8591917
Median Absolute Deviation (MAD)	20
Skewness	0.1764123623
Sum	92699
Variance	1022.622445
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
99	17	2.2%
100	17	2.2%
129	14	1.8%
125	14	1.8%
106	14	1.8%
111	14	1.8%
102	13	1.7%
95	13	1.7%
105	13	1.7%
108	13	1.7%
Other values (126)	625	81.5%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	5	0.7%
44	1	0.1%
56	1	0.1%
57	2	0.3%
61	1	0.1%

Value	Count	Frequency (%)
199	1	0.1%
198	1	0.1%
197	4	0.5%
196	3	0.4%
195	2	0.3%

Pressão sanguínea
Real number (ℝ_≥0)

ZEROS

Distinct	47
Distinct (%)	6.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	69.10169492
Minimum	0
Maximum	122
Zeros	35
Zeros (%)	4.6%
Memory size	6.0 KiB

Quantile statistics

Minimum	0
5-th percentile	38.6
Q1	62
median	72
Q3	80
95-th percentile	90
Maximum	122
Range	122
Interquartile range (IQR)	18

Descriptive statistics

Standard deviation	19.36815466
Coefficient of variation (CV)	0.2802847988
Kurtosis	5.168577977
Mean	69.10169492
Median Absolute Deviation (MAD)	8
Skewness	-1.841911017
Sum	53001
Variance	375.1254149
Monotocity	Not monotonic

Histogram with fixed size bins (bins=47)

Value	Count	Frequency (%)
70	57	7.4%
74	52	6.8%
78	45	5.9%
68	45	5.9%
72	43	5.6%
64	43	5.6%
80	40	5.2%
76	39	5.1%
60	37	4.8%
0	35	4.6%
Other values (37)	331	43.2%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	35	4.6%
24	1	0.1%
30	2	0.3%
38	1	0.1%
40	1	0.1%

Value	Count	Frequency (%)
122	1	0.1%
114	1	0.1%
110	3	0.4%
108	2	0.3%
106	3	0.4%

Trícepis
Real number (ℝ_≥0)

ZEROS

Distinct	51
Distinct (%)	6.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	20.51760104
Minimum	0
Maximum	99
Zeros	227
Zeros (%)	29.6%
Memory size	6.0 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	23
Q3	32
95-th percentile	44
Maximum	99
Range	99
Interquartile range (IQR)	32

Descriptive statistics

Standard deviation	15.95405906
Coefficient of variation (CV)	0.7775791637
Kurtosis	-0.5183252996
Mean	20.51760104
Median Absolute Deviation (MAD)	12
Skewness	0.1120576816
Sum	15737
Variance	254.5320005
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	227	29.6%
32	31	4.0%
30	27	3.5%
27	23	3.0%
23	22	2.9%
18	20	2.6%
28	20	2.6%
33	20	2.6%
31	19	2.5%
19	18	2.3%
Other values (41)	340	44.3%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	227	29.6%
7	2	0.3%
8	2	0.3%
10	5	0.7%
11	6	0.8%

Value	Count	Frequency (%)
99	1	0.1%
63	1	0.1%
60	1	0.1%
56	1	0.1%
54	2	0.3%

Insulina
Real number (ℝ_≥0)

ZEROS

Distinct	186
Distinct (%)	24.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	79.90352021
Minimum	0
Maximum	846
Zeros	373
Zeros (%)	48.6%
Memory size	6.0 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	32
Q3	127.5
95-th percentile	293
Maximum	846
Range	846
Interquartile range (IQR)	127.5

Descriptive statistics

Standard deviation	115.2831052
Coefficient of variation (CV)	1.442778802
Kurtosis	7.205266456
Mean	79.90352021
Median Absolute Deviation (MAD)	32
Skewness	2.270630168
Sum	61286
Variance	13290.19433
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	373	48.6%
105	11	1.4%
140	9	1.2%
130	9	1.2%
120	8	1.0%
100	7	0.9%
180	7	0.9%
94	7	0.9%
115	6	0.8%
135	6	0.8%
Other values (176)	324	42.2%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	373	48.6%
14	1	0.1%
15	1	0.1%
16	1	0.1%
18	2	0.3%

Value	Count	Frequency (%)
846	1	0.1%
744	1	0.1%
680	1	0.1%
600	1	0.1%
579	1	0.1%

IMC
Real number (ℝ_≥0)

ZEROS

Distinct	248
Distinct (%)	32.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	31.9904824
Minimum	0
Maximum	67.1
Zeros	11
Zeros (%)	1.4%
Memory size	6.0 KiB

Quantile statistics

Minimum	0
5-th percentile	21.8
Q1	27.3
median	32
Q3	36.6
95-th percentile	44.41
Maximum	67.1
Range	67.1
Interquartile range (IQR)	9.3

Descriptive statistics

Standard deviation	7.889090901
Coefficient of variation (CV)	0.2466074379
Kurtosis	3.282498397
Mean	31.9904824
Median Absolute Deviation (MAD)	4.6
Skewness	-0.4279502476
Sum	24536.7
Variance	62.23775525
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
32	13	1.7%
31.6	12	1.6%
31.2	12	1.6%
0	11	1.4%
33.3	10	1.3%
32.4	10	1.3%
32.8	9	1.2%
30.8	9	1.2%
30.1	9	1.2%
32.9	9	1.2%
Other values (238)	663	86.4%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	11	1.4%
18.2	3	0.4%
18.4	1	0.1%
19.1	1	0.1%
19.3	1	0.1%

Value	Count	Frequency (%)
67.1	1	0.1%
59.4	1	0.1%
57.3	1	0.1%
55	1	0.1%
53.2	1	0.1%

Chance de diabetes hereditária
Real number (ℝ_≥0)

Distinct	516
Distinct (%)	67.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	0.4716740548
Minimum	0.078
Maximum	2.42
Zeros	0
Zeros (%)	0.0%
Memory size	6.0 KiB

Quantile statistics

Minimum	0.078
5-th percentile	0.1403
Q1	0.2435
median	0.371
Q3	0.625
95-th percentile	1.1333
Maximum	2.42
Range	2.342
Interquartile range (IQR)	0.3815

Descriptive statistics

Standard deviation	0.3314973556
Coefficient of variation (CV)	0.7028102399
Kurtosis	5.593373853
Mean	0.4716740548
Median Absolute Deviation (MAD)	0.166
Skewness	1.921190451
Sum	361.774
Variance	0.1098904968
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0.258	6	0.8%
0.254	6	0.8%
0.238	5	0.7%
0.261	5	0.7%
0.207	5	0.7%
0.268	5	0.7%
0.259	5	0.7%
0.245	4	0.5%
0.299	4	0.5%
0.687	4	0.5%
Other values (506)	718	93.6%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0.078	1	0.1%
0.084	1	0.1%
0.085	2	0.3%
0.088	2	0.3%
0.089	1	0.1%

Value	Count	Frequency (%)
2.42	1	0.1%
2.329	1	0.1%
2.288	1	0.1%
2.137	1	0.1%
1.893	1	0.1%

Idade
Real number (ℝ_≥0)

Distinct	52
Distinct (%)	6.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	33.2190352
Minimum	21
Maximum	81
Zeros	0
Zeros (%)	0.0%
Memory size	6.0 KiB

Quantile statistics

Minimum	21
5-th percentile	21
Q1	24
median	29
Q3	41
95-th percentile	58
Maximum	81
Range	60
Interquartile range (IQR)	17

Descriptive statistics

Standard deviation	11.7522956
Coefficient of variation (CV)	0.3537819665
Kurtosis	0.6608718486
Mean	33.2190352
Median Absolute Deviation (MAD)	7
Skewness	1.135164695
Sum	25479
Variance	138.1164518
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
22	72	9.4%
21	63	8.2%
25	48	6.3%
24	46	6.0%
23	38	5.0%
28	35	4.6%
26	33	4.3%
27	32	4.2%
29	29	3.8%
31	24	3.1%
Other values (42)	347	45.2%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
21	63	8.2%
22	72	9.4%
23	38	5.0%
24	46	6.0%
25	48	6.3%

Value	Count	Frequency (%)
81	1	0.1%
72	1	0.1%
70	1	0.1%
69	2	0.3%
68	1	0.1%

Vive com diabetes
Boolean

Distinct	2
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	6.0 KiB

0	500
1	267

Common Values
Chart

Value	Count	Frequency (%)
0	500	65.2%
1	267	34.8%

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Count
Matrix

First rows

	Nº de gravidez	Glicose	Pressão sanguínea	Trícepis	Insulina	IMC	Chance de diabetes hereditária	Idade	Vive com diabetes
0	1	85	66	29	0	26.6	0.351	31	0
1	8	183	64	0	0	23.3	0.672	32	1
2	1	89	66	23	94	28.1	0.167	21	0
3	0	137	40	35	168	43.1	2.288	33	1
4	5	116	74	0	0	25.6	0.201	30	0
5	3	78	50	32	88	31.0	0.248	26	1
6	10	115	0	0	0	35.3	0.134	29	0
7	2	197	70	45	543	30.5	0.158	53	1
8	8	125	96	0	0	0.0	0.232	54	1
9	4	110	92	0	0	37.6	0.191	30	0

Last rows

	Nº de gravidez	Glicose	Pressão sanguínea	Trícepis	Insulina	IMC	Chance de diabetes hereditária	Idade	Vive com diabetes
757	1	106	76	0	0	37.5	0.197	26	0
758	6	190	92	0	0	35.5	0.278	66	1
759	2	88	58	26	16	28.4	0.766	22	0
760	9	170	74	31	0	44.0	0.403	43	1
761	9	89	62	0	0	22.5	0.142	33	0
762	10	101	76	48	180	32.9	0.171	63	0
763	2	122	70	27	0	36.8	0.340	27	0
764	5	121	72	23	112	26.2	0.245	30	0
765	1	126	60	0	0	30.1	0.349	47	1
766	1	93	70	31	0	30.4	0.315	23	0

Overview

Variables

Interactions

Correlations

Pearson's r

Spearman's ρ

Kendall's τ

Phik (φk)

Missing values

Sample

First rows

Last rows